AI for Business Intelligence

Updated: February 06, 2020

2020. Retina raises $2.5M for its AI-powered customer analysis software



Casting a cold eye on customer behavior and their future lifetime value has brought the Los Angeles-based startup Retina $2.5 million in new funding. Vendors can use Retina’s Shopify app to process data and get a predicted customer lifetime value. For sellers who aren’t integrated with Shopify, they can have their data processed by Retina to get that predicted customer value. Retina bases its analysis on recency, frequency and churn rates to map out customer acquisition, according to the company’s spokesperson. The software collects that data by analyzing the log of previous transactions in a customer data or payment platform, according to a statement.


2018. Zoho Analytics got AI-powered Assistant



Zoho Analytics now sports the AI-powered Zia, Zoho’s intelligent assistant. Whether it be questions like ‘Get me the support tickets received this month, by product by region’ or ‘Give me sales by country by channel’, you just ask Zia. Zia converts such questions asked in natural language to complex SQL queries in the back end, and comes up with multiple relevant report suggestions. You can save the suggestion that best suits you as a report directly. Besides, the new Zoho Analytics makes it easier to analyze data from across apps, and to easily create interactive reports and dashboards and predicts future trends accurately based on their past data. Also Zoho Analytics adds seven new connectors for popular business apps. Each of these connectors come with more than 100 pre-built domain-specific reports and KPI dashboards that users can benefit from right away.


2018. Adobe introduced AI assistant for Adobe Analytics



Adobe introduced an AI-fueled virtual assistant called Intelligent Alerts to help Adobe Analytics users find deeper insights they might have otherwise missed. The way it works is the analyst receives some alerts they can dig into to give them additional insights. If they don’t like what they’re seeing, they can tune the system and it should learn over time what the analyst needs in terms of data. They can configure how often they see the alerts and how many they want to see. This all falls within the realm of Adobe’s artificial intelligence platform they call Sensei. Adobe built Sensei with the idea of injecting intelligence across the Adobe product line.


2018. Tableau acquired AI-analytics startup Empirical Systems



Enterprise BI giant Tableau has acquired Empirical Systems, an early stage startup with AI roots. Their product is still in private Beta. It is delivered currently as an engine embedded inside other applications. That sounds like something that could slip in nicely into the Tableau analytics platform. What’s more, it will be bringing the engineering team on board for some AI knowledge, while taking advantage of this underlying advanced technology. Empirical was developed to make complex data modeling and sophisticated statistical analysis more accessible, so anyone trying to understand their data can make thoughtful, data-driven decisions based on sound analysis, regardless of their technical expertise.


2017. Tableau acquired natural language processing startup ClearGraph



Business intelligence solution provider Tableau has acquired ClearGraph, a service that lets you query and visualize large amounts of business date through natural language queries. Tableau expects to integrate this technology with its own products as it looks to make it easier for its users to use similar queries to visualize their data. Recent advances in natural language processing and machine learning now allow ClearGraph and alternative services to understand more about the underlying database and then take these sentences and essentially translate them into database queries. Given that Microsoft’s Power BI and other competitors already offer this capability, it’s no surprise that Tableau is also looking into this.


2015. Microsoft integrates Cortana into Power BI service



Microsoft announced that Cortana personal assistant is coming to Power BI, its business intelligence tool that, it’s worth noting, already had some natural language query capabilities. Once connected, Cortana can now answer questions from your Power BI data sets for written and spoken queries like “revenue for the last quarter” or draw you a chart for the “number of opportunities by team.” Users have to ensure that Cortana has access to their Power BI data sets by enabling this new feature in Power BI.  With Cortana Analytics, Microsoft also currently offers a more bespoke solution for enterprises that focuses less on the Cortana client and more on the machine learning and automation services that power Cortana.


2015. Microsoft announced voice-enabled Big Data platform Cortana Analytics Suite


Microsoft announced Cortana Analytics Suite that includes Azure ML, the company’s cloud machine learning product, PowerBI, its data visualization tool and Azure Data Catalog, a service designed for sharing and surfacing data stores inside a company. It’s a service that associates data from multiple sources on-demand, using some of the analytics technology it had developed for Power BI to make everyday data queriable by voice and accessible through touch. As for Cortana, which is the Microsoft voice-driven personal assistant tool in Windows 10, it’s a small part of the solution, but Sirosh says Microsoft named the suite after it because it symbolizes the contextualized intelligence that the company hopes to deliver across the entire suite.